Database systems are the information heart of modern enterprises, where they are used for processing business transactions and for understanding and managing the enterprise. Business intelligence is the analysis of data to improve management of the enterprise and routine business operations such as intelligent supply chain management.

Students who complete the online Graduate Certificate in Database Management & Business Intelligence will be prepared to design and implement both transaction processing and decision support databases, and to use data mining technologies to discover the structure, trends, and relationships in the data to produce valuable business insights and effective decision support processes.

Students who complete the Graduate Certificate in Database Management & Business Intelligence will be able to demonstrate:

Database Administrators

Best Technology Jobs, 2016 U.S. News & World Report

#1 Computer Systems Analyst

#2 Software Developer

#3 Web Developer

#4 IT Manager

#5 Information Security Analyst

#6 Database Administrator

#8 Computer Systems Administrator

By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

McKinsey & CompanyBig data: The Next Frontier for Innovation, Competition, and Productivity, 2011

Tuition & Financial Assistance

Money Matters

Boston University Metropolitan College (MET) offers competitive tuition rates that meet the needs of part-time students seeking an affordable education. These rates are substantially lower than those of the traditional, full-time residential programs yet provide access to the same high-quality BU education. To learn more about current tuition rates, visit the MET website.

Financial Assistance

Comprehensive financial assistance services are available at MET, including graduate assistantships (up to $4,200 per semester), scholarships, graduate loans, and payment plans. There is no cost to apply for financial assistance, and you may qualify for a student loan regardless of your income. Learn more.

Courses

(Four courses/16 credits)

METCS669 Database Design and Implementation for Business

Students learn the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Students gain extensive hands- on experience using Oracle or Microsoft SQL Server as they learn the Structured Query Language (SQL) and design and implement databases. Students design and implement a database system as a term project. Restrictions: Only for MS CIS. This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 579. Only one of these courses can be counted towards degree requirements. [4 credits]

The goal of this course is to study basic concepts and techniques of data mining. The topics include data preparation, classification, performance evaluation, association rule mining, and clustering. We will discuss basic data mining algorithms in the class and students will practice data mining techniques using data mining software. Students will use Weka and SQL Server or Oracle. Prereq: MS CS Prerequisites: MET CS 579; or instructor's consent. MS CIS Prerequisites: MET CS 669 and MET CS 546; or instructor's consent. [4 credits]

METCS779 Advanced Database Management

This course covers advanced aspects of database management systems including advanced normalization and denormalization, query optimization, object- oriented and object-relational databases, data warehousing, data mining, distributed databases, XML, XSL, and databases for web applications. There is extensive coverage of SQL and database instance tuning. Students learn about the advanced object- relational features in DBMS such as Oracle, including navigational query, BLOBs, abstract data types, and methods. Students learn about unstructured "big data" databases and gain hands-on experience with MongoDB and Spark, which are integrated into the course web site. Prereq: MET CS 579 or MET CS 669; or instructor's consent. [4 credits]

Admission

Applicants to the program are required to have a bachelor’s degree. Some courses may have additional prerequisites.

Faculty

Jae Young Lee

Assistant Professor of Computer SciencePhD, MS, University of Texas at Arlington; BS, Seoul National University (Korea)

Robert Schudy

Associate Professor of Computer SciencePhD, MS, University of Rochester; BA, University of California San Diego

Getting Started

To learn more or to contact an enrollment advisor before you get started, request information using the button below and tell us a little about yourself. Someone will be in touch to answer any questions you may have about the program and detail the next steps in earning your degree. You can also start your application or register for a course at Metropolitan College.